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46 Results
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Workshop
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Uncertainty Quantification From Scaling Laws in Deep Neural Networks Ibrahim Elsharkawy · Yonatan Kahn · Benjamin Hooberman |
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Workshop
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Information-Theoretic Foundations for Neural Scaling Laws Hong Jun Jeon · Benjamin Van Roy |
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Workshop
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Sun 15:30 |
Scaling-laws for Large Time-series Models JUSTIN ALSING · Thomas Edwards · Benjamin Wandelt · James Alvey · Nam Nguyen |
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Workshop
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Does equivariance matter at scale? Johann Brehmer · Sönke Behrends · Pim de Haan · Taco Cohen |
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Poster
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Fri 16:30 |
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data Alexander Havrilla · Wenjing Liao |
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Workshop
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Sat 10:30 |
SNAC: Multi-Scale Neural Audio Codec Hubert Siuzdak · Florian Grötschla · Luca Lanzendörfer |
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Poster
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Fri 11:00 |
HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection Binghui Xie · Yixuan Wang · Yongqiang Chen · Kaiwen Zhou · Yu Li · Wei Meng · James Cheng |
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Poster
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Wed 16:30 |
4+3 Phases of Compute-Optimal Neural Scaling Laws Elliot Paquette · Courtney Paquette · Lechao Xiao · Jeffrey Pennington |
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Poster
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Fri 16:30 |
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks Lénaïc Chizat · Praneeth Netrapalli |
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Workshop
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A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing Julia Balla · Siddharth Mishra-Sharma · Carolina Cuesta · Tommi Jaakkola · Tess Smidt |
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Poster
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Thu 16:30 |
Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation Tianjing Zhang · Yuhui Quan · Hui Ji |
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Workshop
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Sun 11:20 |
Distributional Scaling Laws for Emergent Capabilities Rosie Zhao · Naomi Saphra · Sham Kakade |